480 lines
21 KiB
Python
480 lines
21 KiB
Python
# -*- coding: utf-8 -*-#
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# -------------------------------------------------------------------------------
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# Name: merge_db.py
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# Description:
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# Author: xaoyaoo
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# Date: 2023/12/03
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# -------------------------------------------------------------------------------
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import logging
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import os
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import shutil
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import sqlite3
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import subprocess
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import time
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from typing import List
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from .decryption import batch_decrypt
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from .wx_info import get_core_db
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from .utils import wx_core_loger, wx_core_error, CORE_DB_TYPE
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@wx_core_error
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def execute_sql(connection, sql, params=None):
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"""
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执行给定的SQL语句,返回结果。
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参数:
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- connection: SQLite连接
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- sql:要执行的SQL语句
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- params:SQL语句中的参数
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"""
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try:
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# connection.text_factory = bytes
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cursor = connection.cursor()
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if params:
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cursor.execute(sql, params)
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else:
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cursor.execute(sql)
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return cursor.fetchall()
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except Exception as e:
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try:
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connection.text_factory = bytes
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cursor = connection.cursor()
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if params:
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cursor.execute(sql, params)
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else:
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cursor.execute(sql)
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rdata = cursor.fetchall()
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connection.text_factory = str
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return rdata
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except Exception as e:
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wx_core_loger.error(f"**********\nSQL: {sql}\nparams: {params}\n{e}\n**********", exc_info=True)
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return None
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@wx_core_error
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def check_create_sync_log(connection):
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"""
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检查是否存在表 sync_log,用于记录同步记录,包括微信数据库路径,表名,记录数,同步时间
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:param connection: SQLite连接
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:return: True or False
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"""
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out_cursor = connection.cursor()
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# 检查是否存在表 sync_log,用于记录同步记录,包括微信数据库路径,表名,记录数,同步时间
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sync_log_status = execute_sql(connection, "SELECT name FROM sqlite_master WHERE type='table' AND name='sync_log'")
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if len(sync_log_status) < 1:
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# db_path 微信数据库路径,tbl_name 表名,src_count 源数据库记录数,current_count 当前合并后的数据库对应表记录数
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sync_record_create_sql = ("CREATE TABLE sync_log ("
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"id INTEGER PRIMARY KEY AUTOINCREMENT,"
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"db_path TEXT NOT NULL,"
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"tbl_name TEXT NOT NULL,"
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"src_count INT,"
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"current_count INT,"
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"createTime INT DEFAULT (strftime('%s', 'now')), "
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"updateTime INT DEFAULT (strftime('%s', 'now'))"
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");")
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out_cursor.execute(sync_record_create_sql)
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# 创建索引
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out_cursor.execute("CREATE INDEX idx_sync_log_db_path ON sync_log (db_path);")
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out_cursor.execute("CREATE INDEX idx_sync_log_tbl_name ON sync_log (tbl_name);")
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# 创建联合索引,防止重复
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out_cursor.execute("CREATE UNIQUE INDEX idx_sync_log_db_tbl ON sync_log (db_path, tbl_name);")
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connection.commit()
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out_cursor.close()
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return True
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@wx_core_error
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def check_create_file_md5(connection):
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"""
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检查是否存在表 file_md5,用于记录文件信息,后续用于去重等操作,暂时闲置
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"""
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pass
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@wx_core_error
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def merge_db(db_paths: List[dict], save_path: str = "merge.db", is_merge_data: bool = True,
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startCreateTime: int = 0, endCreateTime: int = 0):
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"""
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合并数据库 会忽略主键以及重复的行。
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:param db_paths: [{"db_path": "xxx", "de_path": "xxx"},...]
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db_path表示初始路径,de_path表示解密后的路径;初始路径用于保存合并的日志情况,解密后的路径用于读取数据
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:param save_path: str 输出文件路径
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:param is_merge_data: bool 是否合并数据(如果为False,则只解密,并创建表,不插入数据)
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:param startCreateTime: 开始时间戳 主要用于MSG数据库的合并
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:param endCreateTime: 结束时间戳 主要用于MSG数据库的合并
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:return:
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"""
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if os.path.isdir(save_path):
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save_path = os.path.join(save_path, f"merge_{int(time.time())}.db")
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if isinstance(db_paths, list):
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# alias, file_path
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databases = {f"dbi_{i}": (db['db_path'],
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db.get('de_path', db['db_path'])
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) for i, db in enumerate(db_paths)
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}
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else:
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raise TypeError("db_paths 类型错误")
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outdb = sqlite3.connect(save_path)
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is_sync_log = check_create_sync_log(outdb)
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if not is_sync_log:
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wx_core_loger.warning("创建同步记录表失败")
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out_cursor = outdb.cursor()
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# 将MSG_db_paths中的数据合并到out_db_path中
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for alias, db in databases.items():
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db_path = db[0]
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de_path = db[1]
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# 附加数据库
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sql_attach = f"ATTACH DATABASE '{de_path}' AS {alias}"
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out_cursor.execute(sql_attach)
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outdb.commit()
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sql_query_tbl_name = f"SELECT tbl_name, sql FROM {alias}.sqlite_master WHERE type='table' ORDER BY tbl_name;"
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tables = execute_sql(outdb, sql_query_tbl_name)
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for table in tables:
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table, init_create_sql = table[0], table[1]
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table = table if isinstance(table, str) else table.decode()
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init_create_sql = init_create_sql if isinstance(init_create_sql, str) else init_create_sql.decode()
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if table == "sqlite_sequence":
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continue
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if "CREATE TABLE".lower() not in str(init_create_sql).lower():
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continue
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# 获取表中的字段名
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sql_query_columns = f"PRAGMA table_info({table})"
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columns = execute_sql(outdb, sql_query_columns)
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if table == "ChatInfo" and len(columns) > 12: # bizChat中的ChatInfo表与MicroMsg中的ChatInfo表字段不同
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continue
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col_type = {
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(i[1] if isinstance(i[1], str) else i[1].decode(),
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i[2] if isinstance(i[2], str) else i[2].decode())
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for i in columns}
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columns = [i[0] for i in col_type]
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if not columns or len(columns) < 1:
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continue
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# 创建表table
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sql_create_tbl = f"CREATE TABLE IF NOT EXISTS {table} AS SELECT * FROM {alias}.{table} WHERE 0 = 1;"
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out_cursor.execute(sql_create_tbl)
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# 创建包含 NULL 值比较的 UNIQUE 索引
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index_name = f"{table}_unique_index"
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coalesce_columns = ','.join(f"COALESCE({column}, '')" for column in columns)
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sql = f"CREATE UNIQUE INDEX IF NOT EXISTS {index_name} ON {table} ({coalesce_columns})"
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out_cursor.execute(sql)
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# 插入sync_log
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sql_query_sync_log = f"SELECT src_count FROM sync_log WHERE db_path=? AND tbl_name=?"
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sync_log = execute_sql(outdb, sql_query_sync_log, (db_path, table))
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if not sync_log or len(sync_log) < 1:
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sql_insert_sync_log = "INSERT INTO sync_log (db_path, tbl_name, src_count, current_count) VALUES (?, ?, ?, ?)"
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out_cursor.execute(sql_insert_sync_log, (db_path, table, 0, 0))
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outdb.commit()
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if is_merge_data:
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# 比较源数据库和合并后的数据库记录数
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log_src_count = execute_sql(outdb, sql_query_sync_log, (db_path, table))[0][0]
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src_count = execute_sql(outdb, f"SELECT COUNT(*) FROM {alias}.{table}")[0][0]
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if src_count <= log_src_count:
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wx_core_loger.info(f"忽略 {db_path} {de_path} {table} {src_count} {log_src_count}")
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continue
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# 构建数据查询sql
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sql_base = f"SELECT {','.join([i for i in columns])} FROM {alias}.{table} "
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where_clauses, params = [], []
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if "CreateTime" in columns:
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if startCreateTime > 0:
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where_clauses.append("CreateTime > ?")
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params.append(startCreateTime)
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if endCreateTime > 0:
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where_clauses.append("CreateTime < ?")
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params.append(endCreateTime)
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# 如果有WHERE子句,将其添加到SQL语句中,并添加ORDER BY子句
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sql = f"{sql_base} WHERE {' AND '.join(where_clauses)} ORDER BY CreateTime" if where_clauses else sql_base
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src_data = execute_sql(outdb, sql, tuple(params))
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if not src_data or len(src_data) < 1:
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continue
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# 插入数据
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sql = f"INSERT OR IGNORE INTO {table} ({','.join([i for i in columns])}) VALUES ({','.join(['?'] * len(columns))})"
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try:
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out_cursor.executemany(sql, src_data)
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# update sync_log
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sql_update_sync_log = ("UPDATE sync_log "
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"SET src_count = ? ,"
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f"current_count=(SELECT COUNT(*) FROM {table}) "
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"WHERE db_path=? AND tbl_name=?")
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out_cursor.execute(sql_update_sync_log, (src_count, db_path, table))
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except Exception as e:
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wx_core_loger.error(
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f"error: {db_path}\n{de_path}\n{table}\n{sql}\n{src_data}\n{len(src_data)}\n{e}\n",
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exc_info=True)
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# 分离数据库
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sql_detach = f"DETACH DATABASE {alias}"
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out_cursor.execute(sql_detach)
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outdb.commit()
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out_cursor.close()
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outdb.close()
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return save_path
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# @wx_core_error
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# def merge_db1(db_paths: list[dict], save_path: str = "merge.db", is_merge_data: bool = True,
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# startCreateTime: int = 0, endCreateTime: int = 0):
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# """
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# 合并数据库 会忽略主键以及重复的行。
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# :param db_paths: [{"db_path": "xxx", "de_path": "xxx"},...]
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# db_path表示初始路径,de_path表示解密后的路径;初始路径用于保存合并的日志情况,解密后的路径用于读取数据
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# :param save_path: str 输出文件路径
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# :param is_merge_data: bool 是否合并数据(如果为False,则只解密,并创建表,不插入数据)
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# :param startCreateTime: 开始时间戳 主要用于MSG数据库的合并
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# :param endCreateTime: 结束时间戳 主要用于MSG数据库的合并
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# :return:
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# """
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# if os.path.isdir(save_path):
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# save_path = os.path.join(save_path, f"merge_{int(time.time())}.db")
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#
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# if isinstance(db_paths, list):
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# # alias, file_path
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# databases = {f"MSG{i}": (db['db_path'],
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# db.get('de_path', db['db_path'])
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# ) for i, db in enumerate(db_paths)
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# }
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# else:
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# raise TypeError("db_paths 类型错误")
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#
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# from sqlalchemy import create_engine, MetaData, Table, select, insert, Column, UniqueConstraint
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# from sqlalchemy.orm import sessionmaker
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# from sqlalchemy import inspect, PrimaryKeyConstraint
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#
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# outdb = create_engine(f"sqlite:///{save_path}", echo=False)
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#
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# # 创建Session实例
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# Session = sessionmaker()
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# Session.configure(bind=outdb)
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# session = Session()
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#
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# # 将MSG_db_paths中的数据合并到out_db_path中
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# for alias, db in databases.items():
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# db_path = db[0]
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# de_path = db[1]
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#
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# db_engine = create_engine(f"sqlite:///{de_path}", echo=False)
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#
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# # 反射源数据库的表结构
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# metadata = MetaData()
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# metadata.reflect(bind=db_engine)
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#
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# # 创建表
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# outdb_metadata = MetaData()
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# inspector = inspect(db_engine)
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# table_names = [i for i in inspector.get_table_names() if i not in ["sqlite_sequence"]]
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# for table_name in table_names:
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# # 创建表table
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# columns_list_dict = inspector.get_columns(table_name)
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# col_names = [i['name'] for i in columns_list_dict]
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# columns = [Column(i['name'], i['type'], primary_key=False) for i in columns_list_dict]
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# table = Table(table_name, outdb_metadata, *columns)
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# if len(columns) > 1: # 联合索引
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# unique_constraint = UniqueConstraint(*col_names, name=f"{table_name}_unique_index")
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# table.append_constraint(unique_constraint)
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# else:
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# table.append_constraint(PrimaryKeyConstraint(*col_names))
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# table.create(outdb, checkfirst=True)
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#
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# # 将源数据库中的数据插入目标数据库
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# outdb_metadata = MetaData()
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# for table_name in metadata.tables:
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# source_table = Table(table_name, metadata, autoload_with=db_engine)
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# outdb_table = Table(table_name, outdb_metadata, autoload_with=outdb)
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#
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# # 查询源表中的所有数据
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# query = select(source_table)
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# with db_engine.connect() as connection:
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# result = connection.execute(query).fetchall()
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#
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# # 插入到目标表中
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# for row in result:
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# row_data = row._asdict()
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#
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# # 尝试将所有文本数据转换为 UTF-8
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# for key, value in row_data.items():
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# if isinstance(value, str):
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# row_data[key] = value.encode("utf-8")
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#
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# insert_stmt = insert(outdb_table).values(row_data)
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# try:
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# session.execute(insert_stmt)
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# except Exception as e:
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# pass
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# db_engine.dispose()
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#
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# # 提交事务
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# session.commit()
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# # 关闭Session
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# session.close()
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# outdb.dispose()
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# return save_path
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@wx_core_error
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def decrypt_merge(wx_path: str, key: str, outpath: str = "",
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merge_save_path: str = None,
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is_merge_data=True, is_del_decrypted: bool = True,
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startCreateTime: int = 0, endCreateTime: int = 0,
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db_type=None) -> (bool, str):
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"""
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解密合并数据库 msg.db, microMsg.db, media.db,注意:会删除原数据库
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:param wx_path: 微信路径 eg: C:\\*******\\WeChat Files\\wxid_*********
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:param key: 解密密钥
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:param outpath: 输出路径
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:param merge_save_path: 合并后的数据库路径
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:param is_merge_data: 是否合并数据(如果为False,则只解密,并创建表,不插入数据)
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:param is_del_decrypted: 是否删除解密后的数据库(除了合并后的数据库)
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:param startCreateTime: 开始时间戳 主要用于MSG数据库的合并
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:param endCreateTime: 结束时间戳 主要用于MSG数据库的合并
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:param db_type: 数据库类型,从核心数据库中选择
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:return: (true,解密后的数据库路径) or (false,错误信息)
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"""
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if db_type is None:
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db_type = []
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outpath = outpath if outpath else "decrypt_merge_tmp"
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merge_save_path = os.path.join(outpath,
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f"merge_{int(time.time())}.db") if merge_save_path is None else merge_save_path
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decrypted_path = os.path.join(outpath, "decrypted")
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if not wx_path or not key or not os.path.exists(wx_path):
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wx_core_loger.error("参数错误", exc_info=True)
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return False, "参数错误"
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# 解密
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code, wxdbpaths = get_core_db(wx_path, db_type)
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if not code:
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wx_core_loger.error(f"获取数据库路径失败{wxdbpaths}", exc_info=True)
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return False, wxdbpaths
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# 判断out_path是否为空目录
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if os.path.exists(decrypted_path) and os.listdir(decrypted_path):
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for root, dirs, files in os.walk(decrypted_path, topdown=False):
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for name in files:
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os.remove(os.path.join(root, name))
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for name in dirs:
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os.rmdir(os.path.join(root, name))
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if not os.path.exists(decrypted_path):
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os.makedirs(decrypted_path)
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wxdbpaths = {i["db_path"]: i for i in wxdbpaths}
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# 调用 decrypt 函数,并传入参数 # 解密
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code, ret = batch_decrypt(key=key, db_path=list(wxdbpaths.keys()), out_path=decrypted_path, is_print=False)
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if not code:
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wx_core_loger.error(f"解密失败{ret}", exc_info=True)
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return False, ret
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out_dbs = []
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for code1, ret1 in ret:
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if code1:
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out_dbs.append(ret1)
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parpare_merge_db_path = []
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for db_path, out_path, _ in out_dbs:
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parpare_merge_db_path.append({"db_path": db_path, "de_path": out_path})
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merge_save_path = merge_db(parpare_merge_db_path, merge_save_path, is_merge_data=is_merge_data,
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startCreateTime=startCreateTime, endCreateTime=endCreateTime)
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if is_del_decrypted:
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shutil.rmtree(decrypted_path, True)
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if isinstance(merge_save_path, str):
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return True, merge_save_path
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else:
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return False, "未知错误"
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@wx_core_error
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def merge_real_time_db(key, merge_path: str, db_paths: [dict] or dict, real_time_exe_path: str = None):
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"""
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合并实时数据库消息,暂时只支持64位系统
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:param key: 解密密钥
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:param merge_path: 合并后的数据库路径
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:param db_paths: [dict] or dict eg: {'wxid': 'wxid_***', 'db_type': 'MicroMsg',
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'db_path': 'C:\**\wxid_***\Msg\MicroMsg.db', 'wxid_dir': 'C:\***\wxid_***'}
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:param real_time_exe_path: 实时数据库合并工具路径
|
||
:return:
|
||
"""
|
||
try:
|
||
import platform
|
||
except:
|
||
raise ImportError("未找到模块 platform")
|
||
# 判断系统位数是否为64位,如果不是则抛出异常
|
||
if platform.architecture()[0] != '64bit':
|
||
raise Exception("System is not 64-bit.")
|
||
|
||
if isinstance(db_paths, dict):
|
||
db_paths = [db_paths]
|
||
|
||
merge_path = os.path.abspath(merge_path) # 合并后的数据库路径,必须为绝对路径
|
||
merge_path_base = os.path.dirname(merge_path) # 合并后的数据库路径
|
||
if not os.path.exists(merge_path_base):
|
||
os.makedirs(merge_path_base)
|
||
|
||
endbs = []
|
||
for db_info in db_paths:
|
||
db_path = os.path.abspath(db_info['db_path'])
|
||
if not os.path.exists(db_path):
|
||
# raise FileNotFoundError("数据库不存在")
|
||
continue
|
||
endbs.append(os.path.abspath(db_path))
|
||
endbs = '" "'.join(list(set(endbs)))
|
||
|
||
if not os.path.exists(real_time_exe_path if real_time_exe_path else ""):
|
||
current_path = os.path.dirname(__file__) # 获取当前文件夹路径
|
||
real_time_exe_path = os.path.join(current_path, "tools", "realTime.exe")
|
||
if not os.path.exists(real_time_exe_path):
|
||
raise FileNotFoundError("未找到实时数据库合并工具")
|
||
real_time_exe_path = os.path.abspath(real_time_exe_path)
|
||
|
||
# 调用cmd命令
|
||
cmd = f'{real_time_exe_path} "{key}" "{merge_path}" "{endbs}"'
|
||
# os.system(cmd)
|
||
# wx_core_loger.info(f"合并实时数据库命令:{cmd}")
|
||
p = subprocess.Popen(cmd, shell=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=merge_path_base,
|
||
creationflags=subprocess.CREATE_NO_WINDOW)
|
||
out, err = p.communicate() # 查看返回值
|
||
if out and out.decode("utf-8").find("SUCCESS") >= 0:
|
||
wx_core_loger.info(f"合并实时数据库成功{out}")
|
||
return True, merge_path
|
||
else:
|
||
wx_core_loger.error(f"合并实时数据库失败\n{out}\n{err}")
|
||
return False, (out, err)
|
||
|
||
|
||
@wx_core_error
|
||
def all_merge_real_time_db(key, wx_path, merge_path: str, real_time_exe_path: str = None):
|
||
"""
|
||
合并所有实时数据库
|
||
注:这是全量合并,会有可能产生重复数据,需要自行去重
|
||
:param key: 解密密钥
|
||
:param wx_path: 微信文件夹路径 eg:C:\*****\WeChat Files\wxid*******
|
||
:param merge_path: 合并后的数据库路径 eg: C:\\*******\\WeChat Files\\wxid_*********\\merge.db
|
||
:param real_time_exe_path: 实时数据库合并工具路径
|
||
:return:
|
||
"""
|
||
if not merge_path or not key or not wx_path or not wx_path:
|
||
return False, "msg_path or media_path or wx_path or key is required"
|
||
try:
|
||
from pywxdump import get_core_db
|
||
except ImportError:
|
||
return False, "未找到模块 pywxdump"
|
||
db_paths = get_core_db(wx_path, CORE_DB_TYPE)
|
||
if not db_paths[0]:
|
||
return False, db_paths[1]
|
||
db_paths = db_paths[1]
|
||
code, ret = merge_real_time_db(key=key, merge_path=merge_path, db_paths=db_paths,
|
||
real_time_exe_path=real_time_exe_path)
|
||
if code:
|
||
return True, merge_path
|
||
else:
|
||
return False, ret
|